As a Software Engineer II at JPMorganChase within the Workforce Technology, Employee Platforms team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities
- Executes standard software solution, design, development, and technical troubleshooting. Manage data integration and data analysis of disparate systems
- Build extensible data acquisition and integration solutions to meet the functional and non-functional requirements of the client. Implement processes and logic to extract, transform, and distribute data across one or more data stores from a wide variety of sources
- Provide problem-solving expertise and complex analysis of data to develop business intelligence integration designs
Interface with other internal product development teams as well as cross functional teams (Product Management, Integration Engineering, Quality Engineering, System Admin Teams) - Working with remote and geographically distributed teams to enable building the right products, using the right building blocks, and making them consumable by other products easily
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation
Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
- 4+ years experience in data integration projects using Big Data Technologies. Experience in AWS Data Warehousing and database platforms with hands-on delivery using EMR, S3, AWS Glue, Lambda, Apache Airflow and Infrastructure as Code (IaC) (e.g., Terraform/CloudFormation)
- Strong experience in CICD using Jenkins, Git, Artifactory, Yaml, Maven for Cloud deployments
- Hands on experience on Spark engineering with PySpark/Scala for building and optimizing scalable data pipelines. Good knowledge of Big Data querying tools, such as Athena, RDS, Databricks SQL Warehouse.
- Strong experience in integrating data from different types of file-storage formats like Parquet, ORC, Avro and table formats like Delta Lake or Iceberg
- Strong knowledge of Data Warehousing, Data Modeling and Data Lake concepts
- Strong experience with Java open-source and API standards
- Hands-on practical experience in system design, application development, testing, and operational stability
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
- Experience in technologies like Oracle/SQL and NoSQL data stores such as DynamoDB
- Ability to quickly learn new technologies in a dynamic environment
- Databricks preferred
Skills Required
- 4+ years of experience in data integration projects using big data technologies
- Hands-on AWS data warehousing and database platform delivery using EMR, S3, AWS Glue, Lambda, Apache Airflow, and infrastructure as code such as Terraform or CloudFormation
- Strong CI/CD experience using Jenkins, Git, Artifactory, YAML, and Maven for cloud deployments
- Hands-on Spark engineering experience with PySpark or Scala for building and optimizing scalable data pipelines
- Knowledge of big data querying tools such as Athena, RDS, and Databricks SQL Warehouse
- Experience integrating data from file formats including Parquet, ORC, and Avro, and table formats including Delta Lake or Iceberg
- Strong knowledge of data warehousing, data modeling, and data lake concepts
- Strong experience with Java open-source technologies and API standards
- Hands-on experience in system design, application development, testing, and operational stability
- Hands-on experience using enterprise-authorized AI-assisted software development tools, with ability to evaluate and validate generated outputs
- Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling, resiliency, and security expectations
- Experience with Oracle, SQL, or NoSQL data stores such as DynamoDB
- Ability to quickly learn new technologies in a dynamic environment
- Experience with Databricks
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
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What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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